Analysis of Australian Twin Data by using Shared Frailty Models based on Reversed Hazard

A. Pandey¹ , Lalpawimawha ² , P.K. Misra³

Section:Research Paper, Product Type: Journal-Paper
Vol.6 , Issue.2 , pp.91-98, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrmss/v6i2.9198

Online published on Apr 30, 2019

Copyright © A. Pandey, Lalpawimawha , P.K. Misra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In this paper, we propose shared frailty models based on reversed hazard rate with exponentiated moment exponential distribution as baseline distribution. The Bayesian approach of Markov Chain Monte Carlo (MCMC) technique was employed to estimate the parameters involved in the models. A simulation study also performed to compare the true value and the estimated value of the parameters. Comparison with the non-parametric model also done by using Bayesian comparison techniques . We apply to the Australian twin data set and better model is suggested.

Key-Words / Index Term :
Bayesian comparison technique, Exponentiated moment exponential distribution, MCMC, Reversed hazard, Shared frailty model

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